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Senior Machine Learning Engineer

1 month, 1 week ago
United States
Full-time
Lead
Machine Learning Engineer
Software Development
Amplitude AWS dbt Git Machine Learning NLP Python Snowflake SQL
Apply Now
GOAT Group

GOAT Group

GOAT Group is a global platform offering the greatest products from the past, present, and future. Established in 2015, it has evolved into the premier sneaker marketplace worldwide, expanding to provide apparel and accessories from emerging, contempor...

Retailing
1K-5K
$493M raised
View All Jobs 11

Description

  • Lead the data team’s efforts to improve recommendation and search algorithms, with a focus on inventory relevance and quality.
  • Develop proprietary AI and machine learning solutions tailored to Grailed’s peer-to-peer marketplace and one-of-one listings.
  • Identify business problems that can be solved with data and take ideas from proposal through alignment and execution.
  • Establish best practices for training, development, testing, and maintenance of data models, including A/B testing and stakeholder communication.
  • Own deployment of trained models into production with Data and ML Engineers, including reliable execution in Snowflake and integration with existing pipelines.
  • Maintain version control of code and configurations using Git.
  • Mine user data to identify personalization opportunities and define and track related KPIs.
  • Build and maintain Snowflake data models to support analytics, reporting, and business insights.
  • Use Python to develop machine learning models and structure output into consumable data flows.
  • Develop user-to-user mapping capabilities and apply search technologies to improve product discovery and personalization.
  • Analyze message content to detect potentially fraudulent activity such as scams, off-platform transaction requests, and phishing attempts.
  • Collaborate cross-functionally with product managers, engineers, designers, marketing, and business stakeholders on data-driven solutions.

Requirements

  • 8+ years of relevant experience in a data or quantitative role, with success in a startup, high-growth, or fast-paced environment.
  • Graduate degree in data science, analytics, mathematics, machine learning, computer science, or a related field is a plus.
  • Strong analytical experience in a product or business setting may substitute for formal advanced education.
  • Experience in marketplace, e-commerce, or fashion/retail domains is preferred.
  • Experience working in a web and mobile app product environment is preferred.
  • Marketing analytics experience is a bonus.
  • Demonstrated success communicating with nontechnical cross-functional partners and telling stories with data to audiences from C-suite to individual contributors.
  • History of mentoring or developing teammates.
  • Ongoing learning through certifications, open-source contributions, or personal projects is a plus.
  • Expert-level proficiency in SQL, Python, and complex mathematical concepts related to recommendation and personalization engines.
  • Proven expertise in advanced statistical modeling, causal inference, experiment/test design, and machine learning algorithms.
  • Expert-level proficiency in Python for data manipulation, statistical analysis, and model development.
  • Practical experience with vector databases and embeddings for user-to-user or user-to-item mapping, semantic search, or item similarity is preferred.
  • Experience with Snowflake for SQL and data warehousing is preferred.
  • Experience with DBT for modular, version-controlled data transformations is preferred.
  • Experience with Git for collaborative code development and review is preferred.
  • Experience with recommendation and personalization products at scale.
  • Experience building models for listing quality, item classification, and NLP on unstructured text.
  • Experience modeling time-series forecasts for market trends, seasonality, demand prediction, and related KPIs.
  • Experience with Looker, Amplitude, Fivetran, and AWS Lambdas is a plus.

Benefits

  • Hiring range of $134,240 to $197,200 USD, with geographic pay tiers up to $197,200 USD depending on location.
  • Benefits include 401(k).
  • Benefits include paid time off.
  • Benefits include medical coverage.
  • Benefits include dental coverage.
  • Benefits include vision coverage.
  • Benefits include disability insurance.
  • Benefits include life insurance options.

Interested in this position?

Apply directly on the company website

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